- Lucia Trilla-Fuertes, Angelo
Gámez-Pozo, Guillermo Prado-Vázquez, Andrea Zapater-Moros, Mariana
Díaz-Almirón, Jorge M Arevalillo, María
Ferrer-Gómez, Hilario Navarro, Paloma Maín,
Enrique Espinosa, Álvaro Pinto, Juan Ángel Fresno Vara (2019) Biological molecular layer
classification of muscle-invasive
bladder cancer opens
new treatment opportunities.
BMC Cancer. 19:636
- Jorge
M Arevalillo, Hilario Navarro (2019) A stochastic ordering based on the
canonical transformation of skew-normal vectors. TEST. 28 (2). 475-498
- Jorge
M Arevalillo
(2019) A machine learning approach to assess
price sensitivity with application to automobile loan segmentation.
Applied Soft Computing. 76. 390-399
- Guillermo Prado-Vazquez, Angelo Gamez-Pozo, Lucia
Trilla-Fuertes, Jorge M Arevalillo, Andrea
Zapater-Moros, Maria Ferrer-Gomez,
Mariana Diaz-Almiron, Rocio
Lopez-Vacas, Hilario Navarro, Paloma Main, Jaime Feliu, Pilar
Zamora, Enrique Espinosa, Juan Ángel Fresno Vara (2019) A novel approach to triple-negative breast cancer molecular classification reveals a luminal immune-positive subgroup with good prognoses. Scientific Reports 9, Article number: 1538
- Andrea
Zapater-Moros, Ángelo Gámez-Pozo, Guillermo Prado-Vázquez, Lucía
Trilla-Fuertes, Jorge M. Arevalillo, Mariana
Díaz-Almirón, Hilario Navarro, Paloma Maín,
Jaime Feliu, Pilar Zamora, Enrique Espinosa,
Juan Ángel Fresno Vara (2018). Probabilistic Graphical Models Relate Immune Status With
Response To Neoadjuvant Chemo-Therapy In Breast Cancer. Oncotarget. 9 (45).
27586-27594
- Lucia
Trilla-Fuertes, Angelo Gámez-Pozo, Jorge M Arevalillo, Mariana Diaz-Almiron,
Guillermo Prado-Vazquez, Andrea Zapater-Moros,
Hilario Navarro, Rosa Aras-Lopez, Irene Dapia, Rocio Lopez-Vacas, Paolo Nanni,
Sara Llorente-Armijo, Pedro Arias, Alberto M Borobia,
Paloma Main, Jaime Feliu,
Enrique Espinosa (2018). Molecular characterization of breast cancer cell response
to metabolic drugs. Oncotarget. 9 (11). 9645-9660
- Lucia
Trilla-Fuertes, Angelo Gamez-Pozo,
Maria Urbanowicz,
Gustavo Ruiz-Ares, Juan M Sepulveda, Guillermo
Prado-Vazquez, Jorge M. Arevalillo,
Andrea Zaparter-Moros, Hilario Navarro, Rocío
López-Vacas, Ray Manneh,
Irene Otero, Felipe Villacampa, Jesus M. Paramio, Juan A. Fresno-Vara, Daniel Castellano
(2017). Urothelial
cancer proteomics provides both prognostic and functional information. Scientific Reports 7,
Article number: 15819
- Jorge M Arevalillo,
Marcelo B Sztein, Karen L Kotloff,
Myron M Levine, Jakub K Simon (2017). Identification of immune
correlates of protection in Shigella infection
by application of machine learning. Journal of Biomedical Informatics. 74. 1-9
- Angelo Gámez-Pozo, Lucía
Trilla-Fuertes, Julia Berges-Soria, Nathalie Selevsek, Rocío
López-Vacas, Mariana Díaz-Almirón, Paolo Nanni,
Jorge M Arevalillo, Hilario Navarro, Jonas Grossmann, Francisco Gayá Moreno, Rubén Gómez Rioja, Guillermo
Prado-Vázquez, Andrea Zapater-Moros, Paloma Main,
Jaime Feliú, Purificación Martínez del Prado,
Pilar Zamora, Eva Ciruelos, Enrique Espinosa, Juan Ángel Fresno Vara
(2017). Functional proteomics outlines the complexity of breast
cancer molecular subtypes. Scientific Reports 7, Article number:
10100
- Jorge
M Arevalillo (2016). The Cornish-Fisher Expansion
for a Class of Statistics in First Order Autoregression. Communications in Statistics –
Theory and Methods. 45 (11). 3196-3205
- Paloma Maín, Jorge M
Arevalillo, Hilario Navarro (2015). Local effect of asymmetry
deviations from Gaussianity using
information-based measures. In Proceedings of the 2nd Int. Electron.
Conf. Entropy Appl. 15–30 November 2015; Sciforum
Electronic Conference Series, Vol. 2, 2015 , B002; doi:10.3390/ecea-2-B002 http://sciforum.net/conference/ecea-2/paper/3252
- Angelo
Gámez-Pozo, Julia Berges-Soria, Jorge
M Arevalillo, Paolo Nanni,
Rocío López Vacas, Hilario Navarro, Jonas Grossmann, Carlos A Castañeda, Paloma Main, Mariana Diaz-Almiron, Enrique
Espinosa, Eva Ciruelos, Juan Ángel Fresno Vara (2015). Combined label-free quantitative proteomics and microRNA
expression analysis of breast cancer unravel molecular differences with
clinical implications. Cancer Research. June 1, 75:
2243-2253
- Jorge M Arevalillo,
Hilario Navarro (2015). A note on the direction
maximizing skewness in multivariate skew-t vectors. Statistics & Probability
Letters. 96. 328-332
- Jorge
M. Arevalillo (2014). Higher-order
approximations to the quantile of the distribution for a class of
statistics in the first-order autoregression. TEST. 23 (2). 291-310
- Jorge M. Arevalillo,
Hilario Navarro (2013). Exploring
correlations in gene expression microarray data for maximum
predictive–minimum redundancy biomarker selection and classification. Computers in Biology and
Medicine. 43 (10). 1437-1443
- EM Ciruelos, A Gámez-Pozo, P Nanni,
J Berges-Soria, H Navarro, R Lopez-Vacas,
J Arevalillo, C Castañeda, J Grossmann,
T Pascual, G de Velasco, M Diaz-Almiron, R
Madero, P Main, E Espinosa, JA Fresno
(2013). Analysis of miRNAs and proteins relations in breast cancer.
Cancer Research. 2013; 73 (24 Suppl): Abstract nr P4-07-07. doi: 10.1158/0008-5472.SABCS13-P4-07-07
- Jorge M. Arevalillo (2012). Exploring the relation between the r*
approximation and the Edgeworth expansion. Metrika. 75 (8). 1009-1024
- Sara Jurdao, Emilio Chuvieco,
Jorge M Arevalillo (2012). Modelling forest fire ignition probability from satellite
estimations of life fuel moisture content. Fire
Ecology. 8 (1). 77-97
- Jorge M. Arevalillo, Hilario Navarro (2012). A study of the effect of kurtosis on discriminant analysis under
elliptical populations. Journal of Multivariate Analysis. 107. 53-63
- Jorge M.
Arevalillo, Hilario Navarro (2011). Uncovering bivariate interactions in high dimensional data using
Random Forests with data augmentation. Fundamenta Informaticae,
Special issue on Machine Learning in Bioinformatics. 113(2). 97-115
- Jorge M.
Arevalillo, Hilario Navarro (2011). A new method for identifying bivariate differential
expression in high dimensional microarray data using quadratic
discriminant analysis. BMC Bionformatics.
12 (Suppl 12):S6. doi:10.1186/1471-2105-12-S12-S6
- S. Jurdao, J. M. Arevalillo, E. Chuvieco,
M. Yebra (2011). Development of a method to transform Life Fuel Moisture
Content into ignition probability. Proceedings of
the 34th
International Symposium on Remote Sensing of Environment. Sydney
- Jorge M. Arevalillo,
Hilario Navarro (2009). Using
random forests to uncover bivariate interactions in high dimensional small
data sets. Proceedings
of the KDD-09 Workshop on Statistical and
Relational Learning in Bioinformatics. 3-6, París. ACM New York, NY, USA.
ISBN: 978-1-60558-667-0 doi. 10.1145/1562090.1562091
- Jorge M. Arevalillo (2003). Inverting a
saddlepoint approximation.
Statistics & Probability letters. 61. 421-428
- Arevalillo J.M (2001). A Second Order
Approximation for the Inverse of the Distribution Function of the
Sample Mean. Kybernetika. 37.
91-102